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Publications

Hawryluk, I. et al. (2020) “Inference of COVID-19 epidemiological distributions from Brazilian hospital data: Inference of COVID-19 epidemiological distributions from Brazilian hospital data”, Journal of the Royal Society Interface, 17(172).
Wu, F. and Rebeschini, P. (2020) “A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval”, arXiv.
O’Driscoll, M. et al. (2020) “A comparative analysis of statistical methods to estimate the reproduction number in emerging epidemics with implications for the current COVID-19 pandemic”, Clinical Infectious Diseases, 73(1), pp. e215 - e223.
Riley, S. et al. (2020) “High and increasing prevalence of SARS-CoV-2 swab positivity in England during end September beginning October 2020: REACT-1 round 5 updated report”, p. 2020.10.12.20211227.
Schwessinger, R. et al. (2020) “DeepC: Predicting 3D genome folding using megabase-scale transfer learning”, Nature Methods, 17(11), pp. 1118–1124.
Wang, Q., Rao, V. and Teh, Y. (2020) “An exact auxiliary variable Gibbs sampler for a class of diffusions”, Journal of Computational and Graphical Statistics, 30(2), pp. 297–311.
Watson, J. et al. (2020) “A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices”, PLoS Genetics, 16(10).
Riley, S. et al. (2020) “High prevalence of SARS-CoV-2 swab positivity in England during September 2020: interim report of round 5 of REACT-1 study”, p. 2020.09.30.20204727.
O’Cathail, S. et al. (2020) “NRF2 metagene signature is a novel prognostic biomarker in colorectal cancer”, Cancer Genetics, 248, pp. 1–10.
Radhakrishnan, S. et al. (2020) “Rabies as a Public Health Concern in India-A Historical Perspective.”, Tropical medicine and infectious disease, 5(4), pp. E162 - E162-.